Manager, Salesforce Targeting & Engagement Analytics

Takeda•Boston, MA

1d•$161,803 - $182,270•Hybrid

About The Position

Takeda Pharmaceuticals USA, Inc. is seeking a Manager, Salesforce Targeting & Engagement Analytics. This role is responsible for designing, building, and operationalizing Salesforce-based field targeting and healthcare professional (HCP) engagement analytics for inline and launch neuroscience brands. The position involves integrating multiple commercial data sources, developing analytic frameworks, and providing insights to support field deployment, omnichannel planning, and commercialization strategy in the neuroscience therapeutic area. The role also includes leading secondary commercial analyses, conducting experiments, analyzing marketing performance data, executing ad-hoc analytics, diagnosing funnel leakage, incorporating payer dynamics, translating analytics into recommendations, and standardizing measurement logic and reporting. Collaboration with various cross-functional teams is essential to align analytic workflows with commercialization milestones and support launch and inline franchises.

Requirements

Master’s degree in Business Administration or related field plus 3 years of experience in qualitative analytics within the pharmaceutical industry, OR Bachelor’s degree in Business Administration or related field plus 5 years of experience in qualitative analytics within the pharmaceutical industry.
Analyze secondary data to evaluate brand performance, prescriber behavior, and market trends both for in-market and launch products using specialty pharmacy, 867 data, IQVIA/Symphony/Komodo claims data.
Evaluate marketing campaigns through split testing to measure digital and non-personal promotional impact on engagement.
Handle the day-to-day Salesforce Targeting Data Analytics Integration project activities for the client merger.
Provide actionable insights to senior leadership based on data analytics to drive growth and market objectives.
Develop SQL & Python queries to retrieve and manipulate data for analysis.
Design scalable Tableau dashboards for reporting.
Manage multiple analytics projects, performing root cause analysis to align findings with business priorities and deadlines.

Responsibilities

Design and manage Salesforce targeting, segmentation, and field deployment using IQVIA, Symphony, Komodo, EMR/EHR, and SP data.
Build longitudinal HCP analytics via SQL/Python in Databricks/Snowflake by integrating claims, Veeva CRM, SP onboarding, and payer access signals.
Develop engagement measurement for Salesforce and omnichannel (NPP/DTC) using campaign metadata and behavioral analytics (Veeva, tele-detail, Adobe/Google).
Lead secondary commercial analyses using claims, CRM, and market data to assess disease dynamics, competitive landscapes, and prescriber behavior, directing offshore (GCC) analytical resources as needed.
Conduct test–control and A/B experimentation to quantify incremental impact of omnichannel tactics and identify drivers of HCP engagement and Rx behavior.
Analyze marketing performance data to surface trends, opportunities, KPI shifts, and whitespace insights to inform tactical and strategic decision-making for neuroscience brands.
Execute ad-hoc analytics for multiple BUs to size market opportunities using Komodo and SP data and partner with digital teams on MRP planning and channel activation.
Diagnose funnel leakage across neuroscience patient journeys using claims, SP onboarding data, payer benefit design, and CRM interaction data.
Incorporate payer dynamics into targeting, segmentation, and pull-through analytics for field and payer-facing teams.
Translate analytics into scenario-based recommendations for brand, field, market access, and launch excellence stakeholders across both launch and inline neuroscience brands.
Standardize measurement logic, code assets, and reporting via Databricks/SQL/Python and Tableau/Qlik/Power BI for reproducibility and cross-brand adoption.
Collaborate cross functionally with Launch Excellence, Brand Marketing, Market Access, Field Leadership, Medical, HEOR/Forecasting, and Data Engineering to align analytic workflows to commercialization milestones.
Support launch and inline franchises using differentiated analytic approaches based on data maturity, therapeutic complexity, payer behavior, and promotional mix.